OverviewKastle is seeking a hands-on
Operations Systems Analyst - AI & Automation to build, improve, and maintain the applications, dashboards, reporting tools, and automated workflows that support Central Operations. Using AI coding tools daily, this individual will turn requests from operations teams into working features, write and troubleshoot code, and verify the quality and safety of AI-generated output before deployment. This role focuses on practical solution delivery, ongoing maintenance, and accurate data, not ownership of the organization-wide KPI strategy or metrics governance.
ResponsibilitiesAI-Enabled Development & Automation- Use AI coding tools daily to create, modify, debug, and maintain dashboards, lightweight applications, scripts, and automated workflows.
- Build and enhance solutions using Power Automate, Dataverse/Dynamics 365 CRM, SharePoint, SQL, Excel, and Python or JavaScript.
- Review, test, and validate AI-generated code and output before releasing changes; document solutions and troubleshoot defects.
- Automate repetitive tasks and improve the reliability and usability of existing operational tools.
Operational Reporting & Data Quality- Build and maintain recurring dashboards, operational reports, SQL queries, data connections, and automated refreshes.
- Investigate discrepancies, validate calculations and data sources, and resolve reporting and workflow issues.
- Support operational and customer-facing reporting using established business definitions and requirements.
Working with Operations Teams- Work directly with operations leaders and frontline teams to gather requests, clarify requirements, and deliver usable features and enhancements.
- Gather feedback, iterate on solutions, and provide clear user instructions and technical documentation.
- Coordinate with IT and relevant teams on access, integrations, dependencies, and deployments.
Production Safety & Customer Data- Follow testing, change-control, access, and security practices when updating production systems.
- Protect sensitive operational and customer data, including when using AI tools; escalate risks and confirm approvals before consequential changes.
QualificationsRequired Qualifications- Bachelor's degree in Computer Science, Information Systems, Information Technology, Business Analytics, or related field, or equivalent experience.
- Three or more years of experience in systems analysis, business applications, workflow automation, operations technology, or a related technical role.
- Daily hands-on experience with generative AI coding tools (such as Microsoft Copilot, ChatGPT, or Claude), including reviewing and validating generated code.
- Hands-on experience with Microsoft Power Automate, Microsoft Dataverse/Dynamics 365 CRM, and SharePoint.
- Strong SQL skills and advanced Excel proficiency, including formulas, PivotTables, and data manipulation.
- Working scripting ability in Python or JavaScript for automation, data processing, or application development.
- Experience building or maintaining operational dashboards, applications, reports, or automated workflows.
- Ability to translate requests into functioning solutions; strong troubleshooting, testing, documentation, and communication skills.
- Careful judgment regarding production changes, access controls, data accuracy, and customer-data protection.
Preferred Qualifications- Power BI dashboard development and Git or similar version control.
- Experience in contact centers, field service, dispatch, customer support, or managed services.
- Familiarity with basic operational trend analysis, capacity planning, or forecasting.
- Experience integrating systems or applying continuous improvement methods.
What Success Looks LikeDeliver dependable, well-tested tools and automations that reduce manual work, keep operational data accurate, and help Central Operations teams serve customers effectively. Use AI to accelerate development while remaining accountable for security, quality, and production reliability.
